BDVal supports various feature selection methods. Several methods can be combined into a feature selection strategy. For instance, it is common to filter features by T-test and fold-change. This can be achieved in BDVal by running the T-Test feature selection method with a confidence threshold, save the resulting gene/feature list and reduce the list further by running Fold-Change selection.
The following feature selection methods are supported:
Flexibility and modularity of the BDVAL software design allows various feature selection methods to be combined easily. Feature selection strategies can be automated.